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Handling Categorical Data in Machine Learning: Easy Explanation for Data Science Interviews
Fletcher Riehl: Using Embedding Layers to Manage High Cardinality Categorical Data | PyData LA 2019
Asaf Sarid: Cutting the Right Corners: Handling High Cardinality by Understanding Your Data
One Hot Encoder with Python Machine Learning (Scikit-Learn)
Machine Learning Tutorial Python - 6: Dummy Variables & One Hot Encoding
SHAP with Python (Code and Explanations)
Feature Engineering for Machine Learning 2- How Cardinality Used to Improve Your ML Models
Machine Learning Tutorial Python - 7: Training and Testing Data
IDENTIFYING CARDINALITY FOR CATEGORICAL VARIABLES | PYTHON
Build a Simple Expected Goals Model with Machine Learning and Python
All Machine Learning algorithms explained in 17 min
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Last Updated: August 15, 2026
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